WinoGrande — leaderboard
Large-scale Winograd Schema Challenge with 44K problems testing commonsense reasoning through pronoun resolution. Models must determine what a pronoun refers to using world knowledge.
Metric: Accuracy (%). Source: epoch.ai. Status: saturated. 80 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Median Human | 94 |
| 2 | Llama 3.1 405B | 89.2 |
| 3 | Claude 3 Opus (20240229) | 88.5 |
| 4 | GPT-4 (0314) | 87.5 |
| 5 | falcon-180B | 87.1 |
| 6 | DeepSeek V2 | 86.3 |
| 7 | DeepSeek V3 | 85.2 |
| 8 | Llama 3 70B | 83.5 |
| 9 | Qwen 2.5 72B | 82.3 |
| 10 | Llama 3.1 405B Instruct | 82.2 |
| 11 | GPT-3.5 Turbo (0613) | 81.6 |
| 12 | text-davinci-002 | 81.6 |
| 13 | Phi-3-small-8k-instruct | 81.5 |
| 14 | Phi-3-medium-128k-instruct | 81.5 |
| 15 | Qwen 2.5 Coder 32B | 80.8 |
Interactive version: theaggregate.ai/benchmark?slug=winogrande · How the rankings work · Data refreshed daily, snapshot 2026-07-22.